research
∙
02/01/2022
Improving Parametric Neural Networks for High-Energy Physics (and Beyond)
Signal-background classification is a central problem in High-Energy Phy...
share
research
∙
05/13/2021
Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre
The distributed Grid infrastructure for High Energy Physics experiments ...
research
∙
04/25/2020
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach
Detection of anomalous behaviors in data centers is crucial to predictiv...
research
∙
04/08/2020
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers
Log-based predictive maintenance of computing centers is a main concern ...
research
∙
07/08/2018